Distributed consensus control of nonlinear multi‐agent systems with sensor uncertainty
This article focuses on the distributed consensus control problem for nonlinear multi‐agent systems subject to sensor uncertainty. To be specific, we study nonlinear multi‐agent systems of lower or upper triangular structure with unknown growth rate and sensor uncertainty. A new time‐varying gain ap...
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Published in | International journal of robust and nonlinear control Vol. 33; no. 2; pp. 973 - 990 |
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Main Authors | , , , |
Format | Journal Article |
Language | English |
Published |
Bognor Regis
Wiley Subscription Services, Inc
25.01.2023
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Subjects | |
Online Access | Get full text |
ISSN | 1049-8923 1099-1239 |
DOI | 10.1002/rnc.6427 |
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Summary: | This article focuses on the distributed consensus control problem for nonlinear multi‐agent systems subject to sensor uncertainty. To be specific, we study nonlinear multi‐agent systems of lower or upper triangular structure with unknown growth rate and sensor uncertainty. A new time‐varying gain approach is proposed to construct observers as well as distributed output‐feedback controllers. By selecting suitable design parameters, the leader‐follower consensus of nonlinear multi‐agent systems is achieved. Different from the existing results, a time‐varying function in a logarithmic form is introduced to deal with unknown growth rate. Moreover, a monotonically increasing time‐varying function is constructed to cope with uncertain sensor sensitivity. Two simulation examples are provided to demonstrate the effectiveness of the proposed distributed consensus control algorithms. |
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Bibliography: | Funding information National Natural Science Foundation of China, Grant/Award Numbers: 61973189; 62073190; Natural Science Foundation of Shandong Province of China, Grant/Award Number: ZR2020ZD25; Research Fund for the Taishan Scholar Project of Shandong Province of China, Grant/Award Number: ts20190905; China Scholarship Council, Grant/Award Number: 202006220111 ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 |
ISSN: | 1049-8923 1099-1239 |
DOI: | 10.1002/rnc.6427 |